What You’ll Need:
Solid understanding of the pricing problem, and data science (pipelines, sampling, testing, statistics, machine learning, inventory management, dynamic pricing, demand forecasting, optimisation, stochastic processes, Bayesian inference)
MSC/Ph.D. in statistics, data science, econometrics, quantitative economics, operations research, mathematics
At least 5 years of experience in applied statistical modelling using software like R, Python, Julia, SAS, Stata, SPSS, JMP, or Minitab
Familiarity with our tech stack: T-SQL, Python, C, Databricks, GitHub
Experience in industries such as airlines, lodging, car rentals, or e-commerce
A passion for working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
What You’ll Get in Return:
A dynamic and creative team environment
Competitive base salary and annual bonus
BAYE, SAYE & Performance share schemes
Flexible benefits package (life insurance, pension, holidays)
‘Work Away’ scheme, allowing you to work abroad for 30 days a year.
Discounted staff travel with access for family and friends.
Annual credit for discount on easyJet holidays
If you thrive on innovation and enjoy working at the forefront of pricing and revenue management, we’d love to hear from you!
Location & Hours of Work
These are full-time positions and we typically get together 2-3 times a week.
About easyJet
At easyJet our aim is to make low-cost travel easy – connecting people to what they value using Europe’s best airline network, great value fares, and friendly service.
It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you’re working as part of our front-line operations or in our corporate functions, you’ll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our ‘Orange Spirit’, and we hope you’ll share that too.
Apply
Complete your application on our careers site.
We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates.
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